@InProceedings{OmaiaPoelBati:2009:2DDiBa,
               author = "Omaia, Derzu and Poel, JanKees van der and Batista, Leonardo 
                         Vidal",
          affiliation = "UFPB/CCEN/DI and PPGEM/DEM/UFPB and PPGI/DI/UFPB",
                title = "2D-DCT Distance Based Face Recognition Using a Reduced Number of 
                         Coefficients",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Face Recognition, Discrete Cosine Transform, Feature Selection, 
                         Classification.",
             abstract = "Automatic face recognition is a challenging problem, since human 
                         faces have a complex pattern. This paper presents a technique for 
                         recognition of frontal human faces on gray scale images. In this 
                         technique, the distance between the Discrete Cosine Transform 
                         (DCT) of the face under evaluation and all the DCTs of the faces 
                         database are computed. The faces with the shortest distances 
                         probably belong to the same person; therefore this evaluating face 
                         is attributed to this person. The distance is calculated as the 
                         sum of the differences between the modules of DCT coefficients. 
                         Only a few coefficients are used in this computation; they are 
                         selected from the low frequency of the DCT. Experimental tests on 
                         the ORL database reaches a recognition rate of 99.75%, with low 
                         computational cost and no preprocessing step. Additionally, the 
                         method achieved 100.0% of recognition accuracy when applying a 
                         zooming normalization over the ORL database.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.52",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.52",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35U56K2",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35U56K2",
           targetfile = "DCTFaceRecogSIBGRAPI2009Final.pdf",
        urlaccessdate = "2024, May 03"
}